Computational survey of univariate and multivariate learning curve models

A computational survey of the various univariate and multivariate learning curve models that have evolved over the past several years is presented. Discussions are presented to show how the models might be used for cost analysis or productivity assessment in engineering management. A computational e...

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Bibliographic Details
Published in:IEEE transactions on engineering management 1992-05, Vol.39 (2), p.176-188
Main Author: Badiru, A.B.
Format: Article
Language:English
Subjects:
Acceleration
Applied sciences
Cost function
Economic models
Exact sciences and technology
Experiments
Humans
Inventory control, production control. Distribution
Learning curves
Lot sizing
Manufacturing processes
Operational research and scientific management
Operational research. Management science
Operations research
Pricing
Production
Productivity
Research and development management
Resource management
Theory
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Summary:A computational survey of the various univariate and multivariate learning curve models that have evolved over the past several years is presented. Discussions are presented to show how the models might be used for cost analysis or productivity assessment in engineering management. A computational experiment comparing a univariate model to a bivariate model is presented. While the bivariate model provides only a slightly better fit than the univariate model, it does provide more detailed information about the factor interactions, and better utilization of available data. The results of the computational experiment can be generalized for the appropriateness of multivariate models.< >
ISSN:0018-9391
1558-0040
DOI:10.1109/17.141275